Data Digest: Week of 10/14

Last week in data: NYC’s Museum of Modern Art upgrades to dynamic audio guides, negative scientific results are often thrown away, Facebook tries to tap into the developing world, Massachusetts tests the impact of financial incentives on driving habits, and scientists misjudge a high school’s mood.

Smart Science, Smart Cities

Will everything in our world eventually be linked to the Internet? We already have refrigerators that talk, cars that will read social updates to you as you drive, and taxis that can be hailed via cell. Who’s to say that we might not someday have self-sorting laundry machines or vehicles that send texts about exactly what needs to be fixed?

Tim Berners-Lee: The Year Open Data Went Worldwide

In this follow-up TED Talk to his 2009 call for “raw data now,” Berners-Lee discusses how the collection of raw data is not about amassing information, but about creating valuable outcomes through analysis. For example, in the U.K., data about bicycle accidents is used to create a map, so users know if they need to find another route to work. In Haiti, satellite images are used to create real-time maps to guide rescue teams to refugee camps.

Data Digest: Week of 10/7

Last week in data: the NIH uses massive datasets to increase clinical trial retention rates, openly accessible mugshots leave room for extortion, IBM and Beyond Verbal use text and voice mining to pinpoint your mood and personality, and biologists face a surplus of useful data…and a lack of capable analysts.

DataLove: a Q&A with Rayid Ghani

In our last post about the RichRelevance DataLove conference, we discussed Rayid Ghani’s experience as chief data scientist in the Obama for America 2012 campaign. In this post, I want to take a closer look at his responses to the audience, as he had some very valuable things to say.

DataLove: How Obama for America Tackled Big Data

This week, I attended the DataLove conference, which was sponsored by RichRelevance, an omni-channel personalization company. One key speaker was Rayid Ghani, previously the chief data scientist for the Obama for America 2012 campaign. In this post, I want to focus on Ghani’s takeaways from his time working with the campaign.